Senior Technical Marketing Engineer

Posted:
5/23/2024, 5:00:00 PM

Location(s):
California, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Growth & Marketing

NVIDIA has become the platform upon which every new AI-powered application is built. From big, challenging Generative AI applications to autonomous vehicles, or voice-recognition systems, the need for advanced perception and cognitive capabilities is exploding... and NVIDIA is right in the center of this revolution. GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud, and we create computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots.

We are currently seeking a dynamic individual to join our team as an DGX Technical Marketing Engineer who can move and adapt quickly to changing needs.

What You’ll Be Doing:

  • Work with product management in planning and execution of content creation and collateral development for DGX solutions.

  • Collaborate with DGX partner ecosystem to create an integrated solution blueprint.

  • Translate high level customer needs into detailed technical requirements and solution guides.

  • Work with engineering and core infrastructure teams on technical architecture, API design, usage dashboards, security and enterprise readiness.

  • Partner with UX teams in defining the end-to-end user journey from feature discovery to commercial adoption.

  • Work with customers to collect technical feedback and use it to drive future roadmap for solutions.

  • Partner with Technical Marketing teams on demos and product marketing teams on product positioning and messaging.

  • Perform technical competitive analysis of other offerings in the market.

What We Need To See:

  • Bachelor's Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Machine Learning, etc.) or equivalent experience.

  • Deep expertise and 12+ years in deploying enterprise solutions and use of cloud-native technologies on public cloud infrastructure (Docker containers, Kubernetes, service-oriented architecture).

  • Hands-on experience deploying systems, networking and storage.

  • Excellent balance of deep technical knowledge of how IT deploys solutions and how to introduce new capabilities.

  • World-class interpersonal skills with a shown ability to articulate a value proposition to technical and non-technical audiences.

  • Work cross functionally with engineering, research, developer relations, and go to market teams.

  • Ability to manage concurrent projects and priorities in a dynamic environment.

Ways To Stand Out From The Crowd:

  • Hands on experience in system administration.

  • Prior Technical Marketing position with enterprise products.

  • Experience collaborating with and contributing to open-source projects.

  • Strong programming skills and familiarity with CUDA and GPU fundamentals.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant, forward-thinking and hardworking people in the world working for us. There has never been a more exciting time to join!

The base salary range is 200,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality